Document Detail


Outbreak Investigations and Identification of Legionella in Contaminated Water.
MedLine Citation:
PMID:  23150391     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
To avoid further cases arising from an infectious source it is essential to ensure the early identification of all potential source(s) within an identified area, or buildings, to determine if they are being managed safely; to take appropriate samples and ensure appropriate remedial actions are taken to remove the risk of further cases. If samples are to give representative results of the system at the time of sampling it is essential to ensure that they are processed appropriately using methods which are both sensitive and specific. It is also imperative that results are interpreted in context and transmitted as soon as possible to the outbreak control team to ensure appropriate and timely action is taken on sites which still pose a risk of infection. A multidisciplinary team approach and forward planning are essential to ensure that there are sufficiently trained and competent personnel and resources. Recognition of sources is dependent on many factors including thorough epidemiological investigations to narrow down the potential geographical area or water system that maybe common to the patients as agreed within the outbreak case definition. qPCR can be useful in both the elimination and identification of suspect systems/sites. However, it requires expert interpretation of results in the context of the sample site and factors which may affect the results such as the use of biocides together with the use of an algorithm for interpretation and actions to be taken to put the results in context.
Authors:
Susanne Lee; John Lee
Publication Detail:
Type:  JOURNAL ARTICLE    
Journal Detail:
Title:  Methods in molecular biology (Clifton, N.J.)     Volume:  954     ISSN:  1940-6029     ISO Abbreviation:  Methods Mol. Biol.     Publication Date:  2013  
Date Detail:
Created Date:  2012-11-14     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9214969     Medline TA:  Methods Mol Biol     Country:  -    
Other Details:
Languages:  ENG     Pagination:  87-118     Citation Subset:  -    
Affiliation:
Leegionella Ltd, Ruislip, UK, susannelee@leegionella.co.uk.
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